Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 871 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 395.6 KiB |
| Average record size in memory | 465.1 B |
Variable types
| CAT | 6 |
|---|---|
| NUM | 6 |
Reproduction
| Analysis started | 2020-07-24 17:24:17.111697 |
|---|---|
| Analysis finished | 2020-07-24 17:24:24.655649 |
| Duration | 7.54 seconds |
| Version | pandas-profiling v2.7.1 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
home_team has a high cardinality: 160 distinct values | High cardinality |
away_team has a high cardinality: 159 distinct values | High cardinality |
match has a high cardinality: 798 distinct values | High cardinality |
df_index is uniformly distributed | Uniform |
match is uniformly distributed | Uniform |
df_index has unique values | Unique |
home_team_score has 224 (25.7%) zeros | Zeros |
away_team_score has 353 (40.5%) zeros | Zeros |
total_scores has 88 (10.1%) zeros | Zeros |
| Distinct count | 871 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 479.7267508610792 |
|---|---|
| Minimum | 0 |
| Maximum | 956 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Memory size | 6.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 50.5 |
| Q1 | 239.5 |
| median | 483 |
| Q3 | 717.5 |
| 95-th percentile | 905.5 |
| Maximum | 956 |
| Range | 956 |
| Interquartile range (IQR) | 478 |
Descriptive statistics
| Standard deviation | 275.7583503 |
|---|---|
| Coefficient of variation (CV) | 0.5748237926 |
| Kurtosis | -1.208298522 |
| Mean | 479.7267509 |
| Median Absolute Deviation (MAD) | 239 |
| Skewness | -0.01611045344 |
| Sum | 417842 |
| Variance | 76042.66778 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 956 | 1 | 0.1% | |
| 317 | 1 | 0.1% | |
| 328 | 1 | 0.1% | |
| 327 | 1 | 0.1% | |
| 326 | 1 | 0.1% | |
| 325 | 1 | 0.1% | |
| 324 | 1 | 0.1% | |
| 323 | 1 | 0.1% | |
| 322 | 1 | 0.1% | |
| 321 | 1 | 0.1% | |
| Other values (861) | 861 | 98.9% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.1% | |
| 1 | 1 | 0.1% | |
| 2 | 1 | 0.1% | |
| 3 | 1 | 0.1% | |
| 4 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 956 | 1 | 0.1% | |
| 955 | 1 | 0.1% | |
| 954 | 1 | 0.1% | |
| 953 | 1 | 0.1% | |
| 952 | 1 | 0.1% |
| Distinct count | 160 |
|---|---|
| Unique (%) | 18.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.9 KiB |
| Mexico | 23 |
|---|---|
| Portugal | 15 |
| Estonia | 15 |
| Saudi Arabia | 15 |
| Greece | 14 |
| Other values (155) |
| Value | Count | Frequency (%) | |
| Mexico | 23 | 2.6% | |
| Portugal | 15 | 1.7% | |
| Estonia | 15 | 1.7% | |
| Saudi Arabia | 15 | 1.7% | |
| Greece | 14 | 1.6% | |
| Oman | 14 | 1.6% | |
| Hungary | 14 | 1.6% | |
| Denmark | 13 | 1.5% | |
| England | 13 | 1.5% | |
| Austria | 12 | 1.4% | |
| Other values (150) | 723 | 83.0% |
Length
| Max length | 22 |
|---|---|
| Mean length | 7.947187141 |
| Min length | 4 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 26 | 50.0% | |
| Uppercase_Letter | 25 | 48.1% | |
| Space_Separator | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| Latin | 51 | 98.1% | |
| Common | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| ASCII | 52 | 100.0% |
| Distinct count | 14 |
|---|---|
| Unique (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.632606199770379 |
|---|---|
| Minimum | 0 |
| Maximum | 31 |
| Zeros | 224 |
| Zeros (%) | 25.7% |
| Memory size | 6.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 31 |
| Range | 31 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.905959795 |
|---|---|
| Coefficient of variation (CV) | 1.167433883 |
| Kurtosis | 68.55786471 |
| Mean | 1.6326062 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 5.524378027 |
| Sum | 1422 |
| Variance | 3.63268274 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 264 | 30.3% | |
| 0 | 224 | 25.7% | |
| 2 | 205 | 23.5% | |
| 3 | 97 | 11.1% | |
| 4 | 35 | 4.0% | |
| 5 | 23 | 2.6% | |
| 6 | 8 | 0.9% | |
| 8 | 4 | 0.5% | |
| 7 | 4 | 0.5% | |
| 9 | 3 | 0.3% | |
| Other values (4) | 4 | 0.5% |
| Value | Count | Frequency (%) | |
| 0 | 224 | 25.7% | |
| 1 | 264 | 30.3% | |
| 2 | 205 | 23.5% | |
| 3 | 97 | 11.1% | |
| 4 | 35 | 4.0% |
| Value | Count | Frequency (%) | |
| 31 | 1 | 0.1% | |
| 15 | 1 | 0.1% | |
| 11 | 1 | 0.1% | |
| 10 | 1 | 0.1% | |
| 9 | 3 | 0.3% |
| Distinct count | 159 |
|---|---|
| Unique (%) | 18.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.9 KiB |
| Argentina | 15 |
|---|---|
| Uruguay | 15 |
| Kuwait | 14 |
| Bulgaria | 13 |
| Israel | 13 |
| Other values (154) |
| Value | Count | Frequency (%) | |
| Argentina | 15 | 1.7% | |
| Uruguay | 15 | 1.7% | |
| Kuwait | 14 | 1.6% | |
| Bulgaria | 13 | 1.5% | |
| Israel | 13 | 1.5% | |
| Sweden | 12 | 1.4% | |
| Spain | 12 | 1.4% | |
| Paraguay | 12 | 1.4% | |
| Norway | 12 | 1.4% | |
| Singapore | 11 | 1.3% | |
| Other values (149) | 742 | 85.2% |
Length
| Max length | 24 |
|---|---|
| Mean length | 7.835820896 |
| Min length | 4 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 26 | 50.0% | |
| Uppercase_Letter | 25 | 48.1% | |
| Space_Separator | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| Latin | 51 | 98.1% | |
| Common | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| ASCII | 52 | 100.0% |
| Distinct count | 9 |
|---|---|
| Unique (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.0045924225028702 |
|---|---|
| Minimum | 0 |
| Maximum | 9 |
| Zeros | 353 |
| Zeros (%) | 40.5% |
| Memory size | 6.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.154691395 |
|---|---|
| Coefficient of variation (CV) | 1.149412806 |
| Kurtosis | 5.240328362 |
| Mean | 1.004592423 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.746568561 |
| Sum | 875 |
| Variance | 1.333312219 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 353 | 40.5% | |
| 1 | 292 | 33.5% | |
| 2 | 148 | 17.0% | |
| 3 | 47 | 5.4% | |
| 4 | 20 | 2.3% | |
| 5 | 5 | 0.6% | |
| 6 | 3 | 0.3% | |
| 7 | 2 | 0.2% | |
| 9 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0 | 353 | 40.5% | |
| 1 | 292 | 33.5% | |
| 2 | 148 | 17.0% | |
| 3 | 47 | 5.4% | |
| 4 | 20 | 2.3% |
| Value | Count | Frequency (%) | |
| 9 | 1 | 0.1% | |
| 7 | 2 | 0.2% | |
| 6 | 3 | 0.3% | |
| 5 | 5 | 0.6% | |
| 4 | 20 | 2.3% |
year
Categorical
| Distinct count | 26 |
|---|---|
| Unique (%) | 3.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.9 KiB |
| 2010 | |
|---|---|
| 2002 | 78 |
| 2004 | 62 |
| 2007 | 57 |
| 2000 | 57 |
| Other values (21) |
| Value | Count | Frequency (%) | |
| 2010 | 141 | 16.2% | |
| 2002 | 78 | 9.0% | |
| 2004 | 62 | 7.1% | |
| 2007 | 57 | 6.5% | |
| 2000 | 57 | 6.5% | |
| 2009 | 54 | 6.2% | |
| 1998 | 53 | 6.1% | |
| 1999 | 44 | 5.1% | |
| 2005 | 42 | 4.8% | |
| 2006 | 41 | 4.7% | |
| Other values (16) | 242 | 27.8% |
Length
| Max length | 4 |
|---|---|
| Mean length | 4 |
| Min length | 4 |
| Value | Count | Frequency (%) | |
| Decimal_Number | 10 | 100.0% |
| Value | Count | Frequency (%) | |
| Common | 10 | 100.0% |
| Value | Count | Frequency (%) | |
| ASCII | 10 | 100.0% |
home_team_rank
Real number (ℝ≥0)
| Distinct count | 181 |
|---|---|
| Unique (%) | 20.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.54994259471871 |
|---|---|
| Minimum | 1.0 |
| Maximum | 206.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 6.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 27 |
| median | 58 |
| Q3 | 95 |
| 95-th percentile | 160 |
| Maximum | 206 |
| Range | 205 |
| Interquartile range (IQR) | 68 |
Descriptive statistics
| Standard deviation | 47.55799336 |
|---|---|
| Coefficient of variation (CV) | 0.725523036 |
| Kurtosis | -0.1488295399 |
| Mean | 65.54994259 |
| Median Absolute Deviation (MAD) | 34 |
| Skewness | 0.7530868154 |
| Sum | 57094 |
| Variance | 2261.762733 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 33 | 14 | 1.6% | |
| 27 | 13 | 1.5% | |
| 8 | 12 | 1.4% | |
| 11 | 12 | 1.4% | |
| 15 | 12 | 1.4% | |
| 12 | 12 | 1.4% | |
| 67 | 11 | 1.3% | |
| 23 | 10 | 1.1% | |
| 6 | 10 | 1.1% | |
| 45 | 10 | 1.1% | |
| Other values (171) | 755 | 86.7% |
| Value | Count | Frequency (%) | |
| 1 | 8 | 0.9% | |
| 2 | 7 | 0.8% | |
| 3 | 7 | 0.8% | |
| 4 | 6 | 0.7% | |
| 5 | 9 | 1.0% |
| Value | Count | Frequency (%) | |
| 206 | 1 | 0.1% | |
| 203 | 1 | 0.1% | |
| 201 | 2 | 0.2% | |
| 200 | 1 | 0.1% | |
| 199 | 1 | 0.1% |
away_team_rank
Real number (ℝ≥0)
| Distinct count | 188 |
|---|---|
| Unique (%) | 21.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.91848450057405 |
|---|---|
| Minimum | 1.0 |
| Maximum | 209.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 6.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 28 |
| median | 61 |
| Q3 | 102.5 |
| 95-th percentile | 169.5 |
| Maximum | 209 |
| Range | 208 |
| Interquartile range (IQR) | 74.5 |
Descriptive statistics
| Standard deviation | 50.4976523 |
|---|---|
| Coefficient of variation (CV) | 0.7222360819 |
| Kurtosis | -0.361778495 |
| Mean | 69.9184845 |
| Median Absolute Deviation (MAD) | 36 |
| Skewness | 0.6669445275 |
| Sum | 60899 |
| Variance | 2550.012888 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 20 | 12 | 1.4% | |
| 30 | 12 | 1.4% | |
| 36 | 12 | 1.4% | |
| 23 | 11 | 1.3% | |
| 2 | 11 | 1.3% | |
| 14 | 11 | 1.3% | |
| 4 | 11 | 1.3% | |
| 37 | 11 | 1.3% | |
| 3 | 11 | 1.3% | |
| 1 | 10 | 1.1% | |
| Other values (178) | 759 | 87.1% |
| Value | Count | Frequency (%) | |
| 1 | 10 | 1.1% | |
| 2 | 11 | 1.3% | |
| 3 | 11 | 1.3% | |
| 4 | 11 | 1.3% | |
| 5 | 6 | 0.7% |
| Value | Count | Frequency (%) | |
| 209 | 1 | 0.1% | |
| 204 | 1 | 0.1% | |
| 203 | 3 | 0.3% | |
| 202 | 1 | 0.1% | |
| 201 | 2 | 0.2% |
tournament
Categorical
| Distinct count | 38 |
|---|---|
| Unique (%) | 4.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.9 KiB |
| Friendly | |
|---|---|
| FIFA World Cup qualification | |
| UEFA Euro qualification | 37 |
| AFC Asian Cup qualification | 31 |
| Cyprus International Tournament | 8 |
| Other values (33) | 87 |
| Value | Count | Frequency (%) | |
| Friendly | 574 | 65.9% | |
| FIFA World Cup qualification | 134 | 15.4% | |
| UEFA Euro qualification | 37 | 4.2% | |
| AFC Asian Cup qualification | 31 | 3.6% | |
| Cyprus International Tournament | 8 | 0.9% | |
| Gulf Cup | 7 | 0.8% | |
| AFF Championship | 7 | 0.8% | |
| CECAFA Cup | 6 | 0.7% | |
| Copa América | 6 | 0.7% | |
| African Cup of Nations qualification | 5 | 0.6% | |
| Other values (28) | 56 | 6.4% |
Length
| Max length | 42 |
|---|---|
| Mean length | 13.52009185 |
| Min length | 7 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 24 | 58.5% | |
| Uppercase_Letter | 15 | 36.6% | |
| Other_Punctuation | 1 | 2.4% | |
| Space_Separator | 1 | 2.4% |
| Value | Count | Frequency (%) | |
| Latin | 39 | 95.1% | |
| Common | 2 | 4.9% |
| Value | Count | Frequency (%) | |
| ASCII | 39 | 100.0% |
game_results
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.9 KiB |
| Win | |
|---|---|
| Draw | |
| Lose |
| Value | Count | Frequency (%) | |
| Win | 420 | 48.2% | |
| Draw | 226 | 25.9% | |
| Lose | 225 | 25.8% |
Length
| Max length | 4 |
|---|---|
| Mean length | 3.517795637 |
| Min length | 3 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 8 | 72.7% | |
| Uppercase_Letter | 3 | 27.3% |
| Value | Count | Frequency (%) | |
| Latin | 11 | 100.0% |
| Value | Count | Frequency (%) | |
| ASCII | 11 | 100.0% |
| Distinct count | 14 |
|---|---|
| Unique (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.637198622273249 |
|---|---|
| Minimum | 0 |
| Maximum | 31 |
| Zeros | 88 |
| Zeros (%) | 10.1% |
| Memory size | 6.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 6 |
| Maximum | 31 |
| Range | 31 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.093601298 |
|---|---|
| Coefficient of variation (CV) | 0.7938731958 |
| Kurtosis | 40.0930993 |
| Mean | 2.637198622 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.743740762 |
| Sum | 2297 |
| Variance | 4.383166396 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 2 | 233 | 26.8% | |
| 3 | 173 | 19.9% | |
| 1 | 153 | 17.6% | |
| 4 | 115 | 13.2% | |
| 0 | 88 | 10.1% | |
| 5 | 51 | 5.9% | |
| 6 | 25 | 2.9% | |
| 7 | 15 | 1.7% | |
| 8 | 7 | 0.8% | |
| 10 | 4 | 0.5% | |
| Other values (4) | 7 | 0.8% |
| Value | Count | Frequency (%) | |
| 0 | 88 | 10.1% | |
| 1 | 153 | 17.6% | |
| 2 | 233 | 26.8% | |
| 3 | 173 | 19.9% | |
| 4 | 115 | 13.2% |
| Value | Count | Frequency (%) | |
| 31 | 1 | 0.1% | |
| 15 | 1 | 0.1% | |
| 11 | 1 | 0.1% | |
| 10 | 4 | 0.5% | |
| 9 | 4 | 0.5% |
| Distinct count | 798 |
|---|---|
| Unique (%) | 91.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.9 KiB |
| Honduras Vs Colombia | 3 |
|---|---|
| Lithuania Vs Belarus | 3 |
| Ecuador Vs Venezuela | 3 |
| Mexico Vs Paraguay | 3 |
| Peru Vs Chile | 3 |
| Other values (793) |
| Value | Count | Frequency (%) | |
| Honduras Vs Colombia | 3 | 0.3% | |
| Lithuania Vs Belarus | 3 | 0.3% | |
| Ecuador Vs Venezuela | 3 | 0.3% | |
| Mexico Vs Paraguay | 3 | 0.3% | |
| Peru Vs Chile | 3 | 0.3% | |
| Bolivia Vs Uruguay | 3 | 0.3% | |
| Costa Rica Vs Jamaica | 2 | 0.2% | |
| Albania Vs Greece | 2 | 0.2% | |
| El Salvador Vs Honduras | 2 | 0.2% | |
| Hungary Vs Switzerland | 2 | 0.2% | |
| Other values (788) | 845 | 97.0% |
Length
| Max length | 42 |
|---|---|
| Mean length | 19.78300804 |
| Min length | 12 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 26 | 50.0% | |
| Uppercase_Letter | 25 | 48.1% | |
| Space_Separator | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| Latin | 51 | 98.1% | |
| Common | 1 | 1.9% |
| Value | Count | Frequency (%) | |
| ASCII | 52 | 100.0% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| df_index | home_team | home_team_score | away_team | away_team_score | year | home_team_rank | away_team_rank | tournament | game_results | total_scores | match | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Bolivia | 3 | Uruguay | 1 | 1993 | 59.0 | 22.0 | FIFA World Cup qualification | Win | 4 | Bolivia Vs Uruguay |
| 1 | 1 | Brazil | 1 | Mexico | 1 | 1993 | 8.0 | 14.0 | Friendly | Draw | 2 | Brazil Vs Mexico |
| 2 | 2 | Ecuador | 5 | Venezuela | 0 | 1993 | 35.0 | 94.0 | FIFA World Cup qualification | Win | 5 | Ecuador Vs Venezuela |
| 3 | 3 | Guinea | 1 | Sierra Leone | 0 | 1993 | 65.0 | 86.0 | Friendly | Win | 1 | Guinea Vs Sierra Leone |
| 4 | 4 | Paraguay | 1 | Argentina | 3 | 1993 | 67.0 | 5.0 | FIFA World Cup qualification | Lose | 4 | Paraguay Vs Argentina |
| 5 | 5 | Peru | 0 | Colombia | 1 | 1993 | 70.0 | 19.0 | FIFA World Cup qualification | Lose | 1 | Peru Vs Colombia |
| 6 | 7 | Saudi Arabia | 1 | Costa Rica | 2 | 1993 | 44.0 | 38.0 | Friendly | Lose | 3 | Saudi Arabia Vs Costa Rica |
| 7 | 9 | Israel | 1 | Ukraine | 0 | 1994 | 54.0 | 90.0 | Friendly | Win | 1 | Israel Vs Ukraine |
| 8 | 11 | England | 5 | Greece | 0 | 1994 | 15.0 | 32.0 | Friendly | Win | 5 | England Vs Greece |
| 9 | 12 | Poland | 3 | Austria | 4 | 1994 | 27.0 | 41.0 | Friendly | Lose | 7 | Poland Vs Austria |
Last rows
| df_index | home_team | home_team_score | away_team | away_team_score | year | home_team_rank | away_team_rank | tournament | game_results | total_scores | match | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 861 | 946 | Mexico | 3 | Republic of Ireland | 1 | 2017 | 17.0 | 26.0 | Friendly | Win | 4 | Mexico Vs Republic of Ireland |
| 862 | 947 | Nigeria | 3 | Togo | 0 | 2017 | 38.0 | 112.0 | Friendly | Win | 3 | Nigeria Vs Togo |
| 863 | 948 | Switzerland | 1 | Belarus | 0 | 2017 | 9.0 | 83.0 | Friendly | Win | 1 | Switzerland Vs Belarus |
| 864 | 950 | Grenada | 0 | Barbados | 2 | 2017 | 163.0 | 181.0 | Windward Islands Tournament | Lose | 2 | Grenada Vs Barbados |
| 865 | 951 | Uganda | 0 | Namibia | 1 | 2018 | 73.0 | 111.0 | African Nations Championship | Lose | 1 | Uganda Vs Namibia |
| 866 | 952 | England | 2 | Costa Rica | 0 | 2018 | 12.0 | 23.0 | Friendly | Win | 2 | England Vs Costa Rica |
| 867 | 953 | Uruguay | 3 | Uzbekistan | 0 | 2018 | 14.0 | 95.0 | Friendly | Win | 3 | Uruguay Vs Uzbekistan |
| 868 | 954 | Portugal | 3 | Algeria | 0 | 2018 | 4.0 | 66.0 | Friendly | Win | 3 | Portugal Vs Algeria |
| 869 | 955 | Iceland | 2 | Ghana | 2 | 2018 | 22.0 | 47.0 | Friendly | Draw | 4 | Iceland Vs Ghana |
| 870 | 956 | India | 1 | New Zealand | 2 | 2018 | 97.0 | 120.0 | Intercontinental Cup | Lose | 3 | India Vs New Zealand |